AdaBoost-CNN: An adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learning

Published 2020 View Full Article

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Title
AdaBoost-CNN: An adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learning
Authors
Keywords
Deep learning, Ensemble models, Adaboost, Imbalanced data, Transfer learning
Journal
NEUROCOMPUTING
Volume 404, Issue -, Pages 351-366
Publisher
Elsevier BV
Online
2020-05-12
DOI
10.1016/j.neucom.2020.03.064

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